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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine industries by 2026. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and protocols for next-generation quantum systems. You will collaborate with world-class physicists and engineers to overcome quantum decoherence challenges and accelerate commercial quantum applications in cryptography, materials science, and AI optimization.

Our Austin-based innovation hub offers state-of-the-art cryogenic labs and unparalleled access to IBM Quantum and D-Wave systems. We provide competitive equity packages, flexible work arrangements, and dedicated R&D funding for patent-worthy breakthroughs. Shape the future of computation with us.

Responsibilities

  • Design and implement quantum algorithms for error correction and optimization
  • Lead experimental validation of quantum circuits on superconducting and photonic platforms
  • Develop hybrid quantum-classical machine learning frameworks for 2026-era AI
  • Collaborate with hardware teams to mitigate qubit decoherence in real-world systems
  • Author peer-reviewed publications and secure NIH/NSF grants for quantum research
  • Mentor junior researchers in quantum information theory and computational complexity

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum error correction or algorithm development
  • Proficiency in Python, TensorFlow, and high-performance computing frameworks
  • Deep understanding of quantum mechanics principles and linear algebra
  • Experience with quantum hardware integration (IBM Q Experience, Rigetti Forest)

Required Skills

Quantum Computing Qiskit Cirq Quantum Error Correction Machine Learning Cryogenics TensorFlow Python Superconducting Qubits

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